Bad Data Product, Bad AI - Now What?

This SAP Community discussion examines what teams should do when poor-quality data products lead to unreliable AI model outputs, a growing concern as organizations rush AI deployments without adequate data governance. The thread covers remediation strategies including data quality assessment, lineage tracing, and the role of data mesh principles in preventing AI failures caused by upstream data issues.